activity
20192021
most citedDiscriminative Appearance Modeling with Multi-track Pooling for Real-time Multi-object Tracking

4 citations · 4 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV20214 cited

Discriminative Appearance Modeling with Multi-track Pooling for Real-time Multi-object Tracking

Chanho Kim, Li Fuxin, Mazen Alotaibi +1

In multi-object tracking, the tracker maintains in its memory the appearance and motion information for each object in the scene. This memory is utilized for finding matches betwee…

cs.CV2020

In the Eye of the Beholder: Gaze and Actions in First Person Video

Yin Li, Miao Liu, James M. Rehg

We address the task of jointly determining what a person is doing and where they are looking based on the analysis of video captured by a headworn camera. To facilitate our researc…

cs.RO2020

Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning

Keuntaek Lee, Bogdan Vlahov, Jason Gibson +2

In this work, we present a method for obtaining an implicit objective function for vision-based navigation. The proposed methodology relies on Imitation Learning, Model Predictive…

cs.CV2020

Detecting Attended Visual Targets in Video

Eunji Chong, Yongxin Wang, Nataniel Ruiz +1

We address the problem of detecting attention targets in video. Our goal is to identify where each person in each frame of a video is looking, and correctly handle the case where t…

cs.CV2019

Regularizing Neural Networks via Minimizing Hyperspherical Energy

Rongmei Lin, Weiyang Liu, Zhen Liu +5

Inspired by the Thomson problem in physics where the distribution of multiple propelling electrons on a unit sphere can be modeled via minimizing some potential energy, hyperspheri…